Results 201 to 210 of about 126,307 (254)

A subspace method for space time adaptive processing

IEEE Transactions on Signal Processing, 2005
The problem of space-time adaptive processing (STAP) using a nonlinear array is considered. A key part of STAP is the estimation of the space-time covariance matrix of the received data. The conventional method of doing this causes significant performance degradation at short ranges because of the nonstationarity of the data.
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On Using a priori Knowledge in Space-Time Adaptive Processing

IEEE Transactions on Signal Processing, 2008
In space-time adaptive processing (STAP), the clutter covariance matrix is routinely estimated from secondary ldquotarget-freerdquo data. Because this type of data is, more often than not, rather scarce, the so-obtained estimates of the clutter covariance matrix are typically rather poor.
Petre Stoica, Jian Li 0001, Xumin Zhu, Joseph R. Guerci   +3 more
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Space-Time Adaptive Processing Using Pattern Classification

IEEE Transactions on Signal Processing, 2015
Since it was first developed to solve the problem of target detection by moving target indicator (MTI) radars, space-time adaptive processing (STAP) has seen many versions, developed to overcome the shortcomings of the original version. In this paper, we introduce a new method, called Learning-Based Space-Time Adaptive Processing (LBSTAP), in which the
Alaa El Khatib, Khaled Assaleh 0001, Hasan Saeed Mir   +2 more
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A Cognitive Architecture for Space Time Adaptive Processing

2020 IEEE International Radar Conference (RADAR), 2020
A cognitive radar can be conceived as a system that is able to autonomously and continuously change the parameters of both the transmitter and the receiver to optimise its performances in changing complex and changing environment with the available resources.
Gelli S., Martorella M.
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Adaptive pulse design for space-time adaptive processing

2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012
Space-time adaptive processing (STAP) is used in radar to adaptively suppress both ground clutter returns and radio frequency interference (RFI). However, RFI suppression utilizes degrees-of-freedom that would otherwise be applied to clutter suppression.
Lee K. Patton, Daniel E. Hack, Braham Himed   +2 more
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Multi-Waveform Space-Time Adaptive Processing

IEEE Transactions on Aerospace and Electronic Systems, 2017
A new form of space-time adaptive processing (STAP) is presented that leverages additional training data obtained from waveform-diverse pulse compression filters possessing low cross-correlation with the primary waveform that is used for traditional airborne and space-based ground moving target indication.
Shannon D. Blunt, Justin G. Metcalf, John Jakabosky, James M. Stiles, Braham Himed   +4 more
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Parallel algorithms for space-time adaptive processing

Proceedings of 9th International Parallel Processing Symposium, 2002
We examine the signal processing problem of space-time adaptive processing (STAP) from a computational point of view. Specifically, we implement an STAP algorithm on the IBM PowerParallel SP1 computer. The two main challenges are solving multiple least squares problems simultaneously and finding an efficient way of implementing multiple computational ...
Serge J. Olszanskyj, James M. Lebak, Adam W. Bojanczyk   +2 more
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Knowledge-Aided Space-Time Adaptive Processing

IEEE Transactions on Aerospace and Electronic Systems, 2011
A fundamental issue in knowledge-aided space-time adaptive processing (KA-STAP) is to determine the degree of accuracy of the a~priori knowledge and the optimal emphasis that should be placed on it. In KA-STAP, the a priori knowledge consists usually of an initial guess of the clutter covariance matrix.
Xumin Zhu, Jian Li 0001, Petre Stoica
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Beam-augmented space-time adaptive processing

1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999
Combined monostatic clutter (MSC) and terrain scattered interference (TSI) pose a difficult challenge for adaptive radar processing. Mitigation techniques exist for each interference alone but are insufficient for their combined effects. Current approaches separate the problem into two stages where TSI is suppressed first and then MSC. The problem with
Yaron Seliktar, Douglas B. Williams, E. Jeff Holder   +2 more
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A maximum entropy framework for space–time adaptive processing

Signal Processing, 2004
We address the problem of devising and analyzing radar processors for space-time adaptive processing applications. We first define a class of adaptive filters based on the approximation of the overall disturbance with a multichannel autoregressive process.
DE MAIO, ANTONIO, A. Farina
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